Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Shen-Zhengen_US
dc.contributor.authorLee, Hsi-Jianen_US
dc.date.accessioned2014-12-08T15:04:14Z-
dc.date.available2014-12-08T15:04:14Z-
dc.date.issued2008en_US
dc.identifier.isbn978-1-4244-2570-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/2730-
dc.description.abstractIn surveillance applications, search space reduction (SSR) is an essential element to efficient algorithms. In this study, spatial and temporal SSRs are integrated for license plate detection in video sequences; the plates could be extracted robustly and extremely fast. Our method started from spatial SSR. by a bi-level one-pass plate extraction (BOPE) algorithm developed to extract plates accurately even in complicated situations. Moreover, we proposed to exclude repeated patterns with the similar appearances in the same location of consecutive frames, which usually include stopped vehicles or regular backgrounds. For efficiency, repeated patterns were detected only on the results of BOPE, named spatiotemporal SSR, based on a block-based mechanism by estimating the tangent distance, which is invariant to the variations in positions, sizes, rotations, or brightness. To reduce the computational load, the repeated patterns and their measured invariant features could be retained for next estimation. In our experiments, the search space could be reduced up to 87.9% by the spatiotemporal SSR; all plate numbers with the heights ranging from 24 to 40 are extracted correctly. The high performance, average 76 frames per second on a 3G Hz PC, suggests that the real-time goal for surveillance applications could be accomplished.en_US
dc.language.isoen_USen_US
dc.subjectLicense Plate Detectionen_US
dc.subjectSearch Space Reductionen_US
dc.subjectVideo Surveillanceen_US
dc.titleAPPLICATION OF SPATIOTEMPORAL SEARCH-SPACE REDUCTION IN LICENSE PLATE DETECTIONen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4en_US
dc.citation.spage1337en_US
dc.citation.epage1340en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000261514000335-
Appears in Collections:Conferences Paper